tougo — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-06-11T08:52:03Z,
for the dataset file:///shared/tougo_409557be.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
Mobilités M - Grésivaudan
Feed Email:
N/A
Feed Language:
French

Files included


  1. agency.txt
  2. booking_rules.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. frequencies.txt
  9. routes.txt
  10. shapes.txt
  11. stop_times.txt
  12. stops.txt
  13. transfers.txt
  14. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 73
  • Shapes: 38
  • Stops: 1350
  • Trips: 1377

Specification Compliance report

71 notices reported (6 errors, 64 warnings, 1 infos)

Notice Code Severity Total
duplicate_key ERROR 6

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"stop_times.txt" 639 673 "trip_id,stop_sequence" "65684,13"
"stop_times.txt" 640 674 "trip_id,stop_sequence" "65684,14"
"stop_times.txt" 669 675 "trip_id,stop_sequence" "65687,10"
"stop_times.txt" 670 676 "trip_id,stop_sequence" "65687,11"
"stop_times.txt" 2402 2506 "trip_id,stop_sequence" "66764,6"
"stop_times.txt" 2403 2507 "trip_id,stop_sequence" "66764,7"
equal_shape_distance_same_coordinates WARNING 2

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"GSV_75_1" 2083 24891.73 261 2082 24891.73 260
"GSV_75_2" 2554 22427.38 225 2553 22427.38 224
fast_travel_between_consecutive_stops WARNING 1

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
185 "65780" "322" 251.11482493824556 2.0926235411520464 719 3 "10045" "Villard-Bonnot, Brignoud Centre" "12:25:00" 720 4 "10348" "Laval-en-Belledonne, Laval Mairie" "12:25:30"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 4

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
"feed_info.txt" 2 "feed_version"
"fare_attributes.txt" 2 "agency_id"
mixed_case_recommended_field WARNING 1

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"booking_rules.txt" "message" "au plus tard la veille avant 18 h (les réservations pour les lundis doivent se faire au minimum le vendredi avant 18 h)." 2
route_long_name_contains_short_name WARNING 48

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"313" 5 "313" "313"
"314" 6 "314" "314"
"315" 7 "315" "315"
"320" 8 "320" "320"
"321" 9 "321" "321"
"322" 10 "322" "322"
"324" 12 "324" "324"
"325" 13 "325" "325"
"326" 14 "326" "326"
"327" 15 "327" "327"
"328" 16 "328" "328"
"329" 17 "329" "329"
"330" 18 "330" "330"
"331" 21 "331" "331"
"332" 22 "332" "332"
"333" 23 "333" "333"
"334" 24 "334" "334"
"335" 25 "335" "335"
"336" 26 "336" "336"
"337" 27 "337" "337"
"338" 28 "338" "338"
"340" 29 "340" "340"
"341" 30 "341" "341"
"342" 31 "342" "342"
"343" 32 "343" "343"
"350" 33 "350" "350"
"351" 34 "351" "351"
"352" 35 "352" "352"
"353" 36 "353" "353"
"354" 37 "354" "354"
"355" 38 "355" "355"
"356" 39 "356" "356"
"357" 40 "357" "357"
"358" 41 "358" "358"
"359" 42 "359" "359"
"360" 43 "360" "360"
"361" 44 "361" "361"
"362" 45 "362" "362"
"363" 46 "363" "363"
"364" 47 "364" "364"
"365" 48 "365" "365"
"366" 49 "366" "366"
"367" 50 "367" "367"
"368" 51 "368" "368"
"369" 52 "369" "369"
"370" 53 "370" "370"
"371" 54 "371" "371"
"380" 55 "380" "380"
stop_too_far_from_shape WARNING 4

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
13 "GSV_C9_1" "68956" 15796 "10782" "Montbonnot-Saint-Martin, Pré de l'Eau" [45.22429498463646,5.819788463913311] 139.31436824758404
104 "GSV_76_6" "69083" 11559 "10130" "Pontcharra, Collège Marcel Chêne Parking" [45.43343000000001,6.007759999999999] 146.2330380422635
244 "GSV_75_2" "69634" 11152 "10132" "Le Touvet, Collège Pierre Aiguille" [45.36046,5.95064] 142.2672853752187
816 "GSV_76_1" "69641" 11803 "10130" "Pontcharra, Collège Marcel Chêne Parking" [45.43354,6.007789999999999] 152.7379670485876
stops_match_shape_out_of_order WARNING 3

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
62 "GSV_N97_2" "65087" 21132 "11090" "Allevard, Les Amoureux" [45.39630174755637,6.073687490377922] 21131 "10002" "Allevard, Allevard Collège" [45.400016323102676,6.077117869162212]
294 "GSV_N97_2" "77891" 21370 "11090" "Allevard, Les Amoureux" [45.39630174755637,6.073687490377922] 21369 "10002" "Allevard, Allevard Collège" [45.400016323102676,6.077117869162212]
26 "GSV_76_5" "69651" 11973 "10130" "Pontcharra, Collège Marcel Chêne Parking" [45.43219,6.008940000000002] 11972 "10700" "Pontcharra, Lycée Pierre Terrail Parvis" [45.4340021887604,6.016017035989904]
unknown_column INFO 1

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"feed_info.txt" "feed_id" 4